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Databricks Associate-Developer-Apache-Spark Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Developing DataFrame API Applications | 44% | - Reading/writing data and partitioning - Column and row manipulation - Handling missing data and duplicates - Filtering, sorting, aggregation - User-defined functions (UDFs) |
| Apache Spark Architecture and Components | 28% | - Lazy evaluation, transformations vs actions - Spark execution model and hierarchy - Fault tolerance and shuffle operations - Driver and executor architecture |
| Troubleshooting and Tuning | 8% | - Performance optimization - Query plans and execution analysis |
| Structured Streaming | 8% | - Streaming concepts and operations - Output modes and triggers |
| Using Spark SQL | 12% | - Supported file formats and data sources - Querying data with Spark SQL - Working with views and tables |
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